| 局域均值分解在MEMS陀螺随机误差消噪上的应用 |
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| 引用本文： | 李军,朱家海,谢聂,郭明威.局域均值分解在MEMS陀螺随机误差消噪上的应用[J].电光与控制,2011,18(12):49-51,74. |
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| 作者姓名： | 李军 朱家海 谢聂 郭明威 |
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| 作者单位： | 空军工程大学工程学院,西安,710038 |
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| 摘 要： | 针对标准Kalman滤波需要建立准确的系统模型、小波阈值降噪对小波基和阈值的选取依赖于经验的不足,将局域均值分解(LMD)方法引入MEMS陀螺的随机误差滤波.该方法可自适应地将随机误差信号分解为若干PF分量之和,且对各分量进行小波降噪处理,将处理后的各分量相加得到降噪信号.实验分析表明该滤波方法效果明显.
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| 关 键 词： | MEMS陀螺 局域均值分解 小波去噪 |
Random Error Filtering Based on Local Mean Decomposition for MEMS Gyro |
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| LI Jun,ZHU Jiahai,XIE Nie,GUO Mingwei.Random Error Filtering Based on Local Mean Decomposition for MEMS Gyro[J].Electronics Optics & Control,2011,18(12):49-51,74. |
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| Authors: | LI Jun ZHU Jiahai XIE Nie GUO Mingwei |
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| Affiliation: | LI Jun,ZHU Jiahai,XIE Nie,GUO Mingwei(Engineering College,Air Force Engineering University,Xi'an 710038,China) |
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| Abstract: | The standard Kalman filter needs exact system model,and the choosing of wavelet base and threshold in wavelet threshold de-noising is dependent on the experience.Taking the problems into consideration,we proposed a new filtering method based on Local Mean Decomposition(LMD).Random error signal was decomposed to several Production Function(PF) adaptively,and wavelet de-nosing was made to some given frequency PF that contained noises.Each PF after processing can be reconstructed to obtain the de-noised signal... |
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| Keywords: | MEMS gyro local mean decomposition wavelet de-noising |
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